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ORCIDArjun K. Bansal
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2010 – 2019
- 2019
[i4]Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal:
Hierarchical Policy Learning is Sensitive to Goal Space Design. CoRR abs/1905.01537 (2019)- [i3]Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun K. Bansal:
Generalization to Novel Objects using Prior Relational Knowledge. CoRR abs/1906.11315 (2019) - 2018
- [i2]Scott Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla, Jayaram Bobba, Matthew Brookhart, Avijit Chakraborty, William Constable, Christian Convey, Leona Cook, Omar Kanawi, Robert Kimball, Jason Knight, Nikolay Korovaiko, Varun Kumar Vijay, Yixing Lao, Christopher R. Lishka, Jaikrishnan Menon, Jennifer Myers, Sandeep Aswath Narayana, Adam Procter, Tristan J. Webb:
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR abs/1801.08058 (2018) - 2017
- [c2]Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. NIPS 2017: 1742-1752 - [i1]Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. CoRR abs/1711.02213 (2017) - 2015
- [c1]Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen:
Discovering Hidden Factors of Variation in Deep Networks. ICLR (Workshop) 2015
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